In the last decade, substantial progress has been made in content-based analysis and multimedia streaming to facilitate the development of large-scale multimedia information systems. Together with the recent progress on semantic web, it is now possible to build a new generation of multimedia applications that enable large-scale semantic representation, analysis, and delivery of multimedia data from heterogeneous data sources. However, there is still a long way to go for mature solutions of multimedia database systems that are capable of processing semantics-rich, large-volume multimedia data.
%0 Journal Article
%1 ShyuCaoEtAl10mtaa
%A Shyu, Mei-Ling
%A Cao, Yu
%A Kong, Jun
%A Li, Ming
%A Lux, Mathias
%A Bao, Jie
%D 2010
%J Multimedia Tools and Applications
%K v1205 springer paper ai multimedia video text analysis semantic processing information retrieval
%N 2-3
%P 147-154
%R 10.1007/s11042-009-0418-1
%T Introduction to the Special Issue on Data Semantics for Multimedia Systems
%V 46
%X In the last decade, substantial progress has been made in content-based analysis and multimedia streaming to facilitate the development of large-scale multimedia information systems. Together with the recent progress on semantic web, it is now possible to build a new generation of multimedia applications that enable large-scale semantic representation, analysis, and delivery of multimedia data from heterogeneous data sources. However, there is still a long way to go for mature solutions of multimedia database systems that are capable of processing semantics-rich, large-volume multimedia data.
@article{ShyuCaoEtAl10mtaa,
abstract = {In the last decade, substantial progress has been made in content-based analysis and multimedia streaming to facilitate the development of large-scale multimedia information systems. Together with the recent progress on semantic web, it is now possible to build a new generation of multimedia applications that enable large-scale semantic representation, analysis, and delivery of multimedia data from heterogeneous data sources. However, there is still a long way to go for mature solutions of multimedia database systems that are capable of processing semantics-rich, large-volume multimedia data.},
added-at = {2012-05-30T10:54:08.000+0200},
author = {Shyu, Mei-Ling and Cao, Yu and Kong, Jun and Li, Ming and Lux, Mathias and Bao, Jie},
biburl = {https://www.bibsonomy.org/bibtex/2349d7d6921aa919104087a4c964b5703/flint63},
doi = {10.1007/s11042-009-0418-1},
file = {SpringerLink:2010/ShyuCaoEtAl10mtaa.pdf:PDF},
groups = {public},
interhash = {0ef3d409b611296455ac0d718f151ab3},
intrahash = {349d7d6921aa919104087a4c964b5703},
issn = {1380-7501},
journal = {Multimedia Tools and Applications},
keywords = {v1205 springer paper ai multimedia video text analysis semantic processing information retrieval},
number = {2-3},
pages = {147-154},
timestamp = {2018-04-16T12:03:15.000+0200},
title = {Introduction to the Special Issue on Data Semantics for Multimedia Systems},
username = {flint63},
volume = 46,
year = 2010
}